this post was submitted on 01 Feb 2024
371 points (89.2% liked)

Technology

59614 readers
3893 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

Reuters reports that AI-related companies lost $190 billion in stock market value on Tuesday following disappointing earnings reports.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] -1 points 9 months ago (1 children)
[–] [email protected] 7 points 9 months ago (2 children)

no, it's quite literally AI. It's a research field in IT that is quite old.

Or are you ranting for years already that the AI that computer games use is also not really AI? Because they do that for decades as well.

People like you are really starting to be a problem, as they water down the discussion of real problems this topic has by blabbering on about "iTs nOt ReAl Ai". Stop it. It's not productive. Concentrate on the real problems instead of doing armchair bullshit like this

[–] Aceticon 4 points 9 months ago

Yeah, AI is pretty generic: simple pathing algorithms in games are called AI.

The "AI" being hyped a lot at the moment falls in the subgroup called Machine Learning (or ML) for short, which excludes algorithms (so something like the A* pathing algorithm is AI but not ML) and isn't even all that young (I learned Neural Networks back at Uni about 3 decades ago).

It's just that computing power, the advances over time in the algorithms in Neural Networks and the use of massive datasets (LLM stands for Large Language Model) have brought us over a threshold were ML can produce output in text, imagery and audio good enough to usually deceive the average person, hence all the hype which is being backfitted to hype just about all kinds of AI, even the algorithmic stuff.

[–] [email protected] 2 points 9 months ago

I mean I was kinda just riffing on the pattern cause I thought it was funny.